The Student-centered STEM Learning Model Based on Artificial Intelligence Project: A Case Study on Intelligent Car
Artificial intelligence has become a crucial technology for the development of the times. In the practice of emerging engineering education about artificial intelligence, how to enhance students' understanding of artificial intelligence technology, strengthen students' enthusiasm for learn...
Ausführliche Beschreibung
Autor*in: |
Jianxin Liao [verfasserIn] Jingmin Yang [verfasserIn] Wenjie Zhang [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Übergeordnetes Werk: |
In: International Journal of Emerging Technologies in Learning (iJET) - Kassel University Press, 2017, 16(2021), 21, Seite 100-120 |
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Übergeordnetes Werk: |
volume:16 ; year:2021 ; number:21 ; pages:100-120 |
Links: |
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DOI / URN: |
10.3991/ijet.v16i21.25001 |
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Katalog-ID: |
DOAJ060583436 |
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10.3991/ijet.v16i21.25001 doi (DE-627)DOAJ060583436 (DE-599)DOAJ3d8aa1999bd4497bbab9423acb6b13eb DE-627 ger DE-627 rakwb eng T58.5-58.64 Jianxin Liao verfasserin aut The Student-centered STEM Learning Model Based on Artificial Intelligence Project: A Case Study on Intelligent Car 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial intelligence has become a crucial technology for the development of the times. In the practice of emerging engineering education about artificial intelligence, how to enhance students' understanding of artificial intelligence technology, strengthen students' enthusiasm for learning, and improve their research and application innovation ability is a key issue. This study constructs a student-centered STEM learning model that emphasizes innovative applications, so as to promote project-based learning effects for students, reduce learning burnout as well as improve their research and application capabilities. We take the design improvement and experimental result analysis of the intelligent car target tracking system as an example and verifies the effectiveness of the learning model through multi-dimensional evaluation and comparative experiments. Under the same experimental equipment and necessary project functions, we divide students into STEM learning groups and traditional project learning groups to carry out learning activities. This study focused on the learning process of the STEM learning group. The empirical analysis shows that the project completion time and quantitative evaluation of the effects are better than the general learning model. artificial intelligence intelligent car learning model multiple evaluation stem education Education L Information technology Jingmin Yang verfasserin aut Wenjie Zhang verfasserin aut In International Journal of Emerging Technologies in Learning (iJET) Kassel University Press, 2017 16(2021), 21, Seite 100-120 (DE-627)51597630X (DE-600)2244179-7 18630383 nnns volume:16 year:2021 number:21 pages:100-120 https://doi.org/10.3991/ijet.v16i21.25001 kostenfrei https://doaj.org/article/3d8aa1999bd4497bbab9423acb6b13eb kostenfrei https://online-journals.org/index.php/i-jet/article/view/25001 kostenfrei https://doaj.org/toc/1863-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2086 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2021 21 100-120 |
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10.3991/ijet.v16i21.25001 doi (DE-627)DOAJ060583436 (DE-599)DOAJ3d8aa1999bd4497bbab9423acb6b13eb DE-627 ger DE-627 rakwb eng T58.5-58.64 Jianxin Liao verfasserin aut The Student-centered STEM Learning Model Based on Artificial Intelligence Project: A Case Study on Intelligent Car 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial intelligence has become a crucial technology for the development of the times. In the practice of emerging engineering education about artificial intelligence, how to enhance students' understanding of artificial intelligence technology, strengthen students' enthusiasm for learning, and improve their research and application innovation ability is a key issue. This study constructs a student-centered STEM learning model that emphasizes innovative applications, so as to promote project-based learning effects for students, reduce learning burnout as well as improve their research and application capabilities. We take the design improvement and experimental result analysis of the intelligent car target tracking system as an example and verifies the effectiveness of the learning model through multi-dimensional evaluation and comparative experiments. Under the same experimental equipment and necessary project functions, we divide students into STEM learning groups and traditional project learning groups to carry out learning activities. This study focused on the learning process of the STEM learning group. The empirical analysis shows that the project completion time and quantitative evaluation of the effects are better than the general learning model. artificial intelligence intelligent car learning model multiple evaluation stem education Education L Information technology Jingmin Yang verfasserin aut Wenjie Zhang verfasserin aut In International Journal of Emerging Technologies in Learning (iJET) Kassel University Press, 2017 16(2021), 21, Seite 100-120 (DE-627)51597630X (DE-600)2244179-7 18630383 nnns volume:16 year:2021 number:21 pages:100-120 https://doi.org/10.3991/ijet.v16i21.25001 kostenfrei https://doaj.org/article/3d8aa1999bd4497bbab9423acb6b13eb kostenfrei https://online-journals.org/index.php/i-jet/article/view/25001 kostenfrei https://doaj.org/toc/1863-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2086 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2021 21 100-120 |
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10.3991/ijet.v16i21.25001 doi (DE-627)DOAJ060583436 (DE-599)DOAJ3d8aa1999bd4497bbab9423acb6b13eb DE-627 ger DE-627 rakwb eng T58.5-58.64 Jianxin Liao verfasserin aut The Student-centered STEM Learning Model Based on Artificial Intelligence Project: A Case Study on Intelligent Car 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Artificial intelligence has become a crucial technology for the development of the times. In the practice of emerging engineering education about artificial intelligence, how to enhance students' understanding of artificial intelligence technology, strengthen students' enthusiasm for learning, and improve their research and application innovation ability is a key issue. This study constructs a student-centered STEM learning model that emphasizes innovative applications, so as to promote project-based learning effects for students, reduce learning burnout as well as improve their research and application capabilities. We take the design improvement and experimental result analysis of the intelligent car target tracking system as an example and verifies the effectiveness of the learning model through multi-dimensional evaluation and comparative experiments. Under the same experimental equipment and necessary project functions, we divide students into STEM learning groups and traditional project learning groups to carry out learning activities. This study focused on the learning process of the STEM learning group. The empirical analysis shows that the project completion time and quantitative evaluation of the effects are better than the general learning model. artificial intelligence intelligent car learning model multiple evaluation stem education Education L Information technology Jingmin Yang verfasserin aut Wenjie Zhang verfasserin aut In International Journal of Emerging Technologies in Learning (iJET) Kassel University Press, 2017 16(2021), 21, Seite 100-120 (DE-627)51597630X (DE-600)2244179-7 18630383 nnns volume:16 year:2021 number:21 pages:100-120 https://doi.org/10.3991/ijet.v16i21.25001 kostenfrei https://doaj.org/article/3d8aa1999bd4497bbab9423acb6b13eb kostenfrei https://online-journals.org/index.php/i-jet/article/view/25001 kostenfrei https://doaj.org/toc/1863-0383 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2010 GBV_ILN_2014 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2086 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 16 2021 21 100-120 |
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Artificial intelligence has become a crucial technology for the development of the times. In the practice of emerging engineering education about artificial intelligence, how to enhance students' understanding of artificial intelligence technology, strengthen students' enthusiasm for learning, and improve their research and application innovation ability is a key issue. This study constructs a student-centered STEM learning model that emphasizes innovative applications, so as to promote project-based learning effects for students, reduce learning burnout as well as improve their research and application capabilities. We take the design improvement and experimental result analysis of the intelligent car target tracking system as an example and verifies the effectiveness of the learning model through multi-dimensional evaluation and comparative experiments. Under the same experimental equipment and necessary project functions, we divide students into STEM learning groups and traditional project learning groups to carry out learning activities. This study focused on the learning process of the STEM learning group. The empirical analysis shows that the project completion time and quantitative evaluation of the effects are better than the general learning model. |
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Artificial intelligence has become a crucial technology for the development of the times. In the practice of emerging engineering education about artificial intelligence, how to enhance students' understanding of artificial intelligence technology, strengthen students' enthusiasm for learning, and improve their research and application innovation ability is a key issue. This study constructs a student-centered STEM learning model that emphasizes innovative applications, so as to promote project-based learning effects for students, reduce learning burnout as well as improve their research and application capabilities. We take the design improvement and experimental result analysis of the intelligent car target tracking system as an example and verifies the effectiveness of the learning model through multi-dimensional evaluation and comparative experiments. Under the same experimental equipment and necessary project functions, we divide students into STEM learning groups and traditional project learning groups to carry out learning activities. This study focused on the learning process of the STEM learning group. The empirical analysis shows that the project completion time and quantitative evaluation of the effects are better than the general learning model. |
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Artificial intelligence has become a crucial technology for the development of the times. In the practice of emerging engineering education about artificial intelligence, how to enhance students' understanding of artificial intelligence technology, strengthen students' enthusiasm for learning, and improve their research and application innovation ability is a key issue. This study constructs a student-centered STEM learning model that emphasizes innovative applications, so as to promote project-based learning effects for students, reduce learning burnout as well as improve their research and application capabilities. We take the design improvement and experimental result analysis of the intelligent car target tracking system as an example and verifies the effectiveness of the learning model through multi-dimensional evaluation and comparative experiments. Under the same experimental equipment and necessary project functions, we divide students into STEM learning groups and traditional project learning groups to carry out learning activities. This study focused on the learning process of the STEM learning group. The empirical analysis shows that the project completion time and quantitative evaluation of the effects are better than the general learning model. |
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